JP2008183048A - Work fatigue degree measuring system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a work fatigue degree measuring system which constitutes a database on the basis of the data of the flashing light and/or intermittent sound fusion discrimination threshold value of an examinee and the data related to the individual feature of the examinee, a measuring date, the state of the action and body of the examinee before measurement and the work content of a measuring day and evaluates the work fatigue degree of the examinee as an objective index by comparing analysis from the database. <P>SOLUTION: The work fatigue degree measuring system includes a measuring instrument 4 for measuring the F value and/or T value of the examinee, a data input device 6 for inputting the measuring data of the measuring instrument 4, an analyzer 1 for analyzing various data and the measuring data to form the database and an output device 8 for outputting an analyzing result. The analyzer 1 has the function of constituting the database on the basis of the correlation with the variation of various data and the measuring data, the function of analyzing and judging a work fatigue degree on the basis of the database and the function of outputting the work fatigue degree through the output device 8. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a work fatigue level measurement system having a learning function. More specifically, the present invention relates to data of a fusion discrimination threshold (flicker value) of a blinking light of a subject and / or a fusion discrimination threshold (sound fusion) of an intermittent sound. Value) data, data related to the subject's personal characteristics, data related to the measurement date, data related to the subject's behavior and physical condition before measurement, and data related to the work content on the measurement date, etc. The present invention relates to a work fatigue level measurement system that makes it possible to evaluate fatigue level as an objective index.

  In recent years, health problems due to overwork and death from overwork, which seems to be the cause, have become social problems. In FY2002, there were 317 people who received work accident certification due to brain or heart disease or death due to overwork. According to the summary of the Ministry of Health, Labor and Welfare, this figure has increased 2.2 times the previous year. Of these, overwork deaths increased 2.8 times in 160 cases, reaching the highest number ever in terms of both the total number of accreditation and the number of deaths. The Ministry of Health, Labor and Welfare says that it has become easier to accredit due to the relaxation of the accreditation standards, so it does not immediately lead to an increase in death from overwork. However, in December 2001, “Cerebrovascular disease, ischemic heart disease, etc. ) ") Regarding the accreditation standards" and the revision of the workmen's accident accreditation standards, we can see the serious situation of modern overwork death.

  By the way, in February 2002, the Ministry of Health, Labor and Welfare announced the “Worker Fatigue Accumulation Self-Diagnosis Checklist” as a measure to prevent health problems caused by overwork, and one standard for measuring the degree of worker's subjective fatigue is It has been established. However, it has been pointed out that in order to force workers who are below a certain level of health to take rest, the self-reported self-reported fatigue level is less reliable and has little support. Therefore, it is necessary to establish a system that can measure fatigue from an objective angle based on scientific grounds. However, as a method for measuring the fatigue level of workers, a typical heartbeat interval RRI as a cardiovascular stress index Physiological measurement of urinary catecholamine, which is an index, stress hormone, or chromogranin A in saliva, which is one of the main proteins secreted from adrenal chromaffin cells and sympathetic neurons, has been known. . However, these measuring methods are problematic in that the apparatus is large and the measurement takes time.

  In view of the above, there is a demand for a simpler system that can evaluate the work fatigue level of various workers as a specific index without requiring a large-scale apparatus. In addition, since the relationship between the work fatigue level and the flicker value and / or sound fusion value is significantly different for each subject, it is necessary to evaluate the work fatigue level for each subject on a scale suitable for the subject.

The technical problem of the present invention is that the visual and auditory characteristics fluctuate with fatigue, and that the measurement thereof is relatively easy, and the fusion discrimination threshold of the flashing light and / or intermittent sound of the subject. Data, data related to the personal characteristics of the subject, data related to the date and time of measurement, data related to the behavior and physical condition of the subject before measurement, and data related to the work content of the measurement date. A work fatigue level measurement system that makes it possible to construct a database including the relationship with the fusion discrimination threshold and to evaluate the fatigue level due to the workload of the subject as an objective index by comparative analysis based on the data of the database. An object of the present invention is to provide a simpler system that does not require a large-scale device.
Another technical problem of the present invention is to prevent the subject from causing health problems due to overwork by issuing an alarm to the subject when the work fatigue level of the subject exceeds a predetermined standard. An object of the present invention is to provide a work fatigue level measurement system that can be used.

  In order to solve the above-mentioned problems, the working fatigue level measuring system according to the present invention is a measuring device for measuring a fusion discrimination threshold of flashing light and / or intermittent sound for a subject; A data input device for inputting various required data and fusion discrimination threshold data measured by the measuring device; various data input by the data input device and data measured by the measuring device are analyzed and databased An analysis device; an output device that outputs an analysis result of the analysis device; and the analysis device inputs data relating to the personal characteristics of the subject input to the data input device, data relating to measurement date and time, behavior of the subject before measurement, and Data on physical condition, data on work content on measurement day, and subject's fusion discrimination threshold measured with the above measuring device A function for constructing a database including the relationship between various loads peculiar to a subject and a fusion discrimination threshold based on a correlation with fluctuations in data; a load during work and a no load based on the accumulated database A function of analyzing and determining the work fatigue level of the subject by comparing and analyzing the fluctuation of the fusion discrimination threshold with the above; and a function of outputting the work fatigue level of the test subject analyzed and determined through the output device. To do.

In a preferred embodiment of the present invention, the analysis device uses the various data input by the subject via the data input device when measuring the work fatigue level, and the fusion discrimination threshold data measured by the measurement device. Has a learning function to update.
In another preferred embodiment of the present invention, the analysis apparatus includes a database in which input data of a large number of subjects is accumulated, and is based on a comparison analysis between the input data of any specific subject and the measured fusion discrimination threshold and the database. , Having the function of analyzing and determining the work fatigue level of the specific subject, in this case, the analysis device, the database constructed on the network, input data of a large number of subjects, various loads and fusion discrimination thresholds in those subjects, Can be stored, and based on the data of specific subjects input through the network and the fusion discrimination threshold, a comparative analysis with the data of specific subjects in the data of many subjects stored in the database Therefore, it is effective to have a function to analyze and determine the work fatigue level of a specific subject. .
In another preferred embodiment of the present invention, alarm means for issuing an alarm when the work fatigue level of the subject exceeds a predetermined standard is provided.

  According to the work fatigue level measurement system of the present invention described in detail above, focusing on the fact that visual and auditory characteristics vary with fatigue, data relating to personal characteristics of the subject input to the data input device, Based on the correlation between the data related to the measurement date and time, the data related to the behavior and physical condition of the subject before the measurement, the data related to the work contents of the measurement date, and the fluctuation of the data of the fusion discrimination threshold of the subject measured by the measurement device. In addition to constructing a database that includes the relationship between the various loads specific to the subject and the fusion discrimination threshold, based on the accumulated database, the analysis of the fluctuation of the fusion discrimination threshold during and without load due to work is comparatively analyzed Therefore, the work fatigue level of the subject can be evaluated as an objective index, and such a system does not require a large-scale device. It can be provided as a simpler system.

  Moreover, it can suppress that a test subject causes a health disorder by overwork by comprising as a warning means which issues a warning when a test subject's work fatigue degree exceeds a predetermined reference | standard.

The best mode for carrying out the working fatigue level measurement system according to the present invention will be described below in detail with reference to the drawings.
FIG. 1 conceptually shows the overall configuration of an embodiment of a working fatigue level measurement system according to the present invention. As shown in the figure, the work fatigue level measurement system is a flicker value (hereinafter referred to as F value) representing a fusion discrimination threshold value of flashing light for a subject who performs personal computer input work (hereinafter referred to as PC work) or the like. And a measurement device 4 for measuring a sound fusion value (hereinafter referred to as a T value) representing a fusion discrimination threshold of intermittent sound, various data necessary for determining the work fatigue level of the subject, and the measurement device A data input device 6 for inputting the data of the F value and the T value measured in 4, an analysis device 1 for analyzing the various data input in the data input device 6 and the data measured by the measuring device 4 and creating a database, An output device 8 for outputting the analysis result of the analysis device 1 is provided.

  In this embodiment, the case where the work fatigue level measurement system is configured to measure the work fatigue level for a subject who performs a PC work will be described. However, the present invention describes such a PC work. It is not limited to the above, but there is a risk associated with fatigue mainly by people of various occupations who are prone to mental fatigue, especially drivers of automobiles, trains, ships, etc., or airplane operators. It is suitable to apply to people of increasing occupation.

  The F value is an index indicating the excitability and tension of the transmission path of visual information, and is used for the assessment of central nervous system fatigue due to VDT (Visual Display Terminal) work or the like. The method of measuring the F value is to observe the light blinking at a predetermined frequency under a certain condition, measure the number of blinks at the boundary of whether it looks like continuous light or flickering light as the frequency, This is the F value. The F value measurement method includes an ascending sequence in which the frequency is gradually increased to change from blinking light to continuous light, and a flicker value, and a time point at which the frequency is gradually decreased to change from continuous light to blinking light. Although there is a descending series with flicker value as the measurement data, measurement data measured in any series may be used. In general, the measurement result of the F value may vary, and in order to improve the reliability of the measurement data, it is effective to use the average value of the measurement data measured a plurality of times as the F value. is there.

  On the other hand, the T value is an index focusing on the auditory characteristic that two intermittent sounds that are repeatedly presented cannot be heard as intermittent sounds due to a decrease in auditory time-splitting ability accompanying fatigue. The time interval of two sounds when one sound can be heard is used as a fusion discrimination threshold (T value). Therefore, since the judgment of the fusion discrimination threshold based on the auditory characteristics is easily influenced by ambient noise, an ultrasonic method different from the audible region is used as an accurate method for measuring the T value, and bone conduction is used. There is also a method to measure. However, it is not always necessary to use such a measurement method.

  Here, in the following description, the F value and the T value are collectively referred to as a P value (potential value) unless otherwise specifically described. In the practice of the present invention, it is desirable to use both the F value and the T value, but it is not always necessary to use both of them. Therefore, in the following description, the P value is the F value and / or the T value. Should be understood.

Since the P value, that is, the F value and / or the T value can be regarded as a kind of wave (vibration) such as an electroencephalogram, the P value also includes a daily rhythm (physically, a period, an amplitude, There is an average value (center value) and a phase). As can be seen from FIG. 2, the two periodic curves are generally in an opposite phase (180 ° phase difference) relationship in the no-load state, and when a work load is applied, the F value and the T value are obtained. Fluctuates as shown in the following (a) to (d).
(A) Phase deviation (see FIG. 3 (a))
(B) Change in average value (see FIG. 3B)
(C) Period fluctuation (disturbance) (see FIG. 3C)
(D) Phase difference (deviation) between F value and T value (see FIG. 3D)

  In the graphs of FIGS. 3 (a) to 3 (d), the P value curve at no load is indicated by a solid line as P, and the P value curve that varies with the work load is indicated by P 'as a dotted line. It represents. 3A shows a situation where the phase of P is shifted from A to A ′ due to the work load, and FIG. 3B shows a situation where the average value Av of P varies from Av to Av ′ due to the work load. Show. In these cases, the F value generally varies in the negative direction depending on the work load, and the T value tends to vary in the positive direction. Further, FIG. 3C shows a state of disturbance of the cycle due to a work load, and FIG. 3D shows a state where a phase shift d occurs between the F value and the T value.

  Therefore, the fluctuation of the P value that occurs during fatigue, that is, the fluctuation of the phase, average value, period, etc. with respect to the P value in the no-load state, or the phase difference (deviation) between the F value and the T value is measured. The degree of work fatigue of the subject is measured using the database by analyzing the correlation between the fluctuations of the data and various data including data relating to the workload input by the subject himself / herself through the data input device 6 can do. However, the fluctuation of the P value due to the work load etc. is not due to a simple cause, but because there are a large number of causes of individual differences acting together, it is necessary to construct a database and measure the work fatigue level. Is a list of workloads and other factors that cause fluctuations in the P value, and is input as data. The influence of various fatigue factors on the fluctuations in the P value, that is, fatigue due to work fatigue. It is necessary to make factor weights into a database for each individual, and it is necessary to measure the degree of fatigue based on a database including the weights.

  The working fatigue level measurement system of FIG. 1 according to the present embodiment is a simpler system that can evaluate the working fatigue level of a subject who performs a PC work or the like as a specific index. For example, the PC main body constituting the analysis apparatus 1 is required to determine the F-value and T-value measurement device 4 and the work fatigue level of the subject. Keyboard, mouse and the like constituting the data input device 6 for inputting the various data, the F value and T value data measured by the measuring device 4, and the display, printer and external memory constituting the output device 8 It is configured by connecting the devices 10 and the like, and analyzes various data input in the data input device 6 and data measured by the measuring device 4 A database by analyzing at location 1, the analysis results of the fatigue by the analysis device 1 is outputted from the output device 8.

  The program group introduced into the PC main body constituting the analysis device 1 is roughly a program group for constructing the database for each subject based on various data input via the data input device 6; And a program group or the like for obtaining a work fatigue degree by basic statistics or multidimensional analysis (quantification theory or the like) based on the database and outputting the result via the output device 8. 1, a database including the relationship between various loads peculiar to the subject and the fusion discrimination threshold is constructed based on at least the correlation between the data of the P value data of the subject measured by the measuring device 4 and the database. Based on the function and the accumulated database, the work fatigue level of the test subject can be solved by comparing and analyzing the fluctuation of the P value between when the work is loaded and when there is no load. And determining function, function to output through the output device 8 is given the task fatigue of subjects judged analyzed. Note that a simulation of a wave curve of the P value can be performed as necessary.

  The measurement device 4 is for measuring the P value of a subject at a predetermined time interval as necessary at the time of load due to work or at the time of no load before work, for example, Although it can be configured as a dedicated device such as a flicker tester or a fusion sound generator connected to the PC main body constituting the analysis device 1 through the data input device 6 so that data can be individually input, it is introduced into the PC main body. The function of the measuring device 4 is added to the PC main body according to the applied application, the blinking light and the intermittent sound signal are output from the PC main body to the measuring device 4, and the PC main body recognizes the P value by operating the keyboard or the like by the subject. You can also. The measuring device 4 is not limited to a device that measures the P value, but may be a device that can easily measure blood pressure, heart rate, body temperature, weather data, and the like.

The data input device 6 is composed of, for example, a keyboard and a mouse connected to the PC main body, and various peripheral devices (for example, a meteorometer, a sphygmomanometer, a thermometer, etc.) that can collect data to be input. And various interfaces for connecting those peripheral devices to the PC main body.
Further, the output device 8 includes a display as display means, a printer for printing various data or measurement results, and an external storage device for reading or reading various data.
As the data input device 6 and the output device 8, a mobile phone can be used.

Accumulation of various data is indispensable for accurately measuring the degree of fatigue due to the workload of the subject.
First, “fatigue”, which is important in determining various data items related to the subject to be input to the data input device 6, will be described. “Fatigue” is “life fatigue” caused by ordinary factors around daily life. And “work fatigue” due to work load in workplaces such as companies and schools.
Regarding “life fatigue”, in addition to the main work (work) of the day, the influence of arousal level, day of the week, weather, intake (drinks, etc.) cannot be ignored, and commuting and commuting itself are a mental burden ( It is known that it becomes a cause of fatigue. Therefore, it is necessary to analyze these factors in addition to the psychological factors of the subject.
On the other hand, with regard to “work fatigue”, taking PC work as an example, even with a short work load of about 1 hour, it starts with eye fatigue and then goes to the neck, shoulders, head, waist, and even wrists and fingers. It is known that fatigue progresses. In addition, as in the case of life fatigue, fatigue due to PC work is easily affected by the day of the week and the intake before measurement (drinks such as coffee, tea, and Japanese tea), the contents of work, and the duration of work. It is also known that the familiarity with work and the degree of concentration on the work affect it.

  In this way, “life fatigue” due to common factors in daily life and “work fatigue” in workplaces such as companies and schools are closely related to each other, so they cannot be completely separated. . Therefore, in order to determine the true degree of work fatigue in workplaces such as companies and schools, in order to eliminate the effects of various loads due to daily life, not only data related to fatigue due to work load but also related to daily life fatigue I need data. In addition, there may be residual fatigue from the previous day, psychological and physiological factors, and various stresses, which must be taken into consideration as necessary.

  In the work fatigue level measurement system, the subject inputs various data via the keyboard and mouse constituting the data input device 6 in a format in which the subject answers the questions displayed on the display constituting the output device 8. . Based on the above points, the data entered by the subject himself / herself is the data related to the personal characteristics of the subject, the data related to the measurement date / time, the data related to the behavior and physical condition of the subject before the measurement, and the data related to the work content on the measurement date. Specifically, there are items as shown in Table 1, for example.

Here, the specific examples of various data input via the data input device 6 are not limited to those described in Table 1, but are data directly or indirectly related to work fatigue or life fatigue. Alternatively, it may be the subject's subjective fatigue level or other data that is considered to have a significant effect on the fatigue level (for example, environmental data such as ambient noise and lighting). Can be used as factor data.
Of these various data, data such as the date and time held by the PC main body and data input from peripheral devices connected to the PC main body do not need to be input by the subject. Input automatically or semi-automatically from peripheral devices.

Next, the results of investigations and examinations on the relationship between the F value and T value performed by the present inventors and the degree of fatigue based on various factors are illustrated for reference.
The effect of fatigue based on various factors on the F and T values shows a certain tendency for many people as described below, but the degree of the effect is unique to each individual. In addition, since the F value and T value itself also have unique characteristics depending on each individual, when constructing a database including the relationship between the measured F value and T value of the subject and various loads, etc. It is necessary to determine the weight of the fatigue factor from a large number of data input for a specific subject and create a database.

The F and T values are affected by various factors such as the behavior before the measurement, the measurement time, the day of the week, and the main work of the day, in addition to the workload and the subjective fatigue level. Taking up the items shown in Table 2 as factors of the impacts on the survey, we will conduct a self-administered questionnaire survey, analyze it by quantification theory type I, and determine the influence of the various factors on the F and T values. The results obtained from the mold are shown in FIG. Below the dotted line of Y = X, the F value indicates that the weight of the T value is large. As a whole, the F value indicates the behavior, main work of the day, drink before measurement, arousal level, etc. It can be seen that the T value is easily affected by the day of the week and the weather. It is noted here that the weight of drinks (especially tea) is surprisingly large.
The subjects to be analyzed here are male (company employee: S), female (housewife and part-time worker: K), female (single, piano teacher: W), and two females (girls student: J, N). ), A total of five people extracted 500 samples from the survey sample 625 that had no missing values and could withstand the analysis, and used the data.

  Fig. 5 shows the result of factor analysis in the case of including qualitative and non-quantitative factors / categories as described above by the factor analysis method (quantification theory type III) for determining the degree of familiarity among various factors. Is shown. In the figure, the factors having a large correlation are arranged close to each other, and the factors having a small correlation are arranged far from each other. That is, in the area of A in the figure, factors such as good, <main> holiday, daytime measurement, well-sleeping, appetite, and tea gathered. , <Main> Going out, <Previous> Driving, miscellaneous, sleeping for more than 8 hours, fine weather, rain, health, Wednesday, Saturday, Sunday, Japanese tea, coffee, etc. There are various factors such as fatigue, slight fatigue, <main> attendance, Monday, Tuesday, Thursday, Friday, sleepiness, weather instability, drinking, lack of appetite, summer, poor health.

  Previously, it was explained that the drink before the measurement has a great influence on the weight of the F value and the T value, but FIG. 6 shows the data to be the basis thereof, that is, the quantification theory of various drinks before the measurement II. Indicates the magnitude of fatigue (category value). The magnitude of fatigue in the figure is that juice, tea, and others are in a favorable direction, and tobacco, milk, water, medicine, and coffee are in the direction of fatigue.

  When measuring the work fatigue level of a subject using the work fatigue level measurement system having the above-described configuration, first, in the analysis apparatus 1, a database including relationships between various loads peculiar to the test subject and the fusion discrimination threshold is built in advance. It is necessary to keep it. In order to measure the degree of fatigue as accurately as possible, a large amount of data must be accumulated in the database.

  However, since the database does not exist in the initial stage, in order to start measuring the degree of fatigue inaccurately, at least the periodicity of the P value when the subject is substantially unloaded in the measurement device 4 is determined. For example, the P value is measured by performing a predetermined time interval, and the fluctuation tendency of the P value due to the load at the time of work peculiar to other subjects is also made into a database although it is inaccurate and used. Then, the work fatigue level of the subject is analyzed and determined by comparing and analyzing the fluctuation of the P value between when the load is applied and when the load is not applied. Data relating to the relationship between various loads and P values during the work is sequentially added to the database at the time of measuring the fatigue level. That is, the work fatigue level measuring system has a learning function for constructing the database of the subject. Therefore, the database is updated each time the system is used, and accurate measurement of the degree of fatigue becomes possible.

  When measuring the degree of fatigue, the subject inputs various data as shown in Table 1 to the analysis device 1 by the data input device 6, and at the same time, the measurement device 4 measures the P value at the time of the subject's work load. The result is input to the PC main body automatically or via the data input device 6. And in the analysis apparatus 1, based on the correlation between the fluctuation of the data of the P value and the database, the fluctuation when compared with the P value at the time of loading at the time of work and at the time of no load such as before work. A database is created based on the correlation with various data input by the data input device 6. Then, based on the database, by comparing and analyzing the fluctuation characteristics of the P value between when the test subject is loaded and when there is no load, the work fatigue level of the test subject can be analyzed and determined.

  Specific examples of the fluctuation characteristics of the P value include, for example, fluctuation of the phase difference between the F value and the T value, fluctuation of the frequency of the F value and the T value, the wave period of the F value and the T value, or the F value and the T value. Examples include, but are not limited to, the fluctuation rate of the amplitude of the value, and any data related to the fluctuation of the F value and the T value can be used as an index when performing comparative analysis. .

  The analysis apparatus 1 includes a database in which input data of a large number of subjects is accumulated, and analyzes and determines the work fatigue level of the specific subject by comparing the input data of any specific subject and the measured P value with the database. In this case, the analysis apparatus 1 is configured to construct a database relating to the input data of a large number of subjects on the network and the relationship between various loads on these subjects and the fusion discrimination threshold. And can be accumulated. As a result, it becomes possible to perform comparative analysis of the input data of a large number of subjects accumulated in the database via the network and the database based on the input data.

  The work fatigue level of the subject who has been analyzed and determined can be output to various media via the output device 8. For example, each subject's personal data is distributed as printed materials such as daily reports, weekly reports, monthly reports, or annual reports to each subject, or various statistical processes are performed on a group of companies or schools, and the resulting data is as described above. Can be distributed as a printed material, or recorded on an external storage medium such as FD, CD-ROM, DVD, etc., and distributed to individual subjects or groups of companies, schools, etc. Can be sent.

  The work fatigue level measurement system 2 can be provided with a warning means for issuing a warning when the work fatigue level of the subject exceeds a predetermined standard. As the alarm means, for example, when the work fatigue degree analyzed and determined by the analysis device 1 exceeds a predetermined standard, an alarm sound is generated from an alarm device connected to the PC body constituting the analysis device 1. Alternatively, an alarm indicating that the subject is tired can be displayed on the display constituting the output device 8. In this case, it can be configured to issue an alarm in a plurality of stages according to the degree of work fatigue of the subject.

It is a block diagram which shows notionally the whole structure of the working fatigue degree measuring system which concerns on the Example of this invention. It is a graph which shows the phase relationship of F value and T value at the time of no load. It is a graph explaining the deviation of the phase of P value by work load. It is a graph explaining the fluctuation | variation of the average value of P value by work load. It is a graph explaining the fluctuation | variation (disturbance) of the period of P value by a work load. It is a graph explaining the phase difference (deviation) between F value and T value by a work load. It is a graph which shows the result of having calculated | required the influence degree which gives to F value and T value of various fatigue factors with the type of weight. It is a graph which shows the result of having calculated | required the closeness between various factors. It is a graph which shows the category value about various drinks before the measurement of F value and T value.

Explanation of symbols

1 Analyzing device 4 Measuring device 6 Data input device 8 Output device

Claims (5)

A measuring device for measuring the fusion discrimination threshold of flashing light and / or intermittent sound for a subject;
A data input device for inputting various data required to determine the work fatigue level of the test subject and data of the fusion discrimination threshold measured by the measuring device;
An analysis device for analyzing the various data input in the data input device and the data measured by the measurement device into a database;
An output device for outputting an analysis result of the analysis device;
Including
Data relating to the personal characteristics of the subject input to the data input device by the analysis device, data relating to the measurement date and time, data relating to the behavior and physical condition of the subject before measurement, data relating to the work content of the measurement day, and the measurement A function of constructing a database including the relationship between various loads specific to the subject and the fusion discrimination threshold based on the correlation with the fluctuation of the data of the fusion discrimination threshold of the subject measured by the apparatus; A function for analyzing and judging the work fatigue level of the subject by comparing and analyzing the fluctuation of the fusion discrimination threshold between when the load is applied and when there is no load, and outputting the analyzed work fatigue level of the subject through the output device A function to
A system for measuring work fatigue. The analysis device has a learning function of updating the database with various data input by a subject via a data input device when measuring work fatigue and data of a fusion discrimination threshold measured by the measurement device.
The working fatigue level measuring system according to claim 1, wherein The analysis apparatus includes a database in which input data of a large number of subjects is accumulated, and analysis / determination of the work fatigue level of the specific subject by comparison analysis between the input data of any specific subject and the measured fusion discrimination threshold and the database Have the ability to
The working fatigue level measurement system according to claim 1 or 2, wherein The analysis device can store input data of a large number of subjects in the database constructed on the network and data on the relationship between various loads and fusion discrimination thresholds in those subjects, and the specific subjects input via the network Based on the data and the fusion discrimination threshold, it has a function of analyzing and determining the work fatigue level of a specific subject by comparison analysis with the data of the specific subject in the data of a large number of subjects accumulated in the database.
The working fatigue level measuring system according to claim 3. Provided with an alarm means for issuing an alarm when the work fatigue level of the subject exceeds a predetermined standard,
The working fatigue level measuring system according to any one of claims 1 to 4.

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